I would be curious to see the distribution of these vulns in the codebase:

- What subsystems are affected?

- What's the median age of the vulnerable code? Is more recent code stronger than old ones?

- What is the type of vulnerabilities found? Memory corruptions, logic bugs, race conditions, ...

This is an impressive result, but we need more info to understand how well this would translate to another codebase, and what lessons can be drawn from this experiment. Not every company has ~million dollards in tokens to spend.